Should I Use STDEV or STDEVP for My Experimental Data Analysis?

  • Thread starter physques74
  • Start date
In summary, Mark44 asks whether or not STDEV or STDEVP should be used to calculate cortisol secretion in response to treatment with CRH. He provides the data, calculates the means, and shows that STDEV is the appropriate formula.
  • #1
physques74
4
0
I'd really appreciate some help. I don't know whether or not I should use STDEV or STDEVP for the data sets below. The values shown have used STDEV in excel.

Homework Statement



In a laboratory, researchers have treated human adrenocortical cells with Corticotropin Releasing Hormone (CRH), in a concentration- and time-dependent manner. Upon completion of the experiment, media from the cell cultures were collected and cortisol levels were measure using a specific radioimmunoassay (as pmol/106 cells).

The data obtained were:
Table (1): the levels of cortisol in pmol/106 cells secreted by the adenocortical cells treated with CRH and Basal cells (untreated with CRH) at different times

Time 6 hours 12 hours 24 hours 36 hours
Basal CRH Basal CRH Basal CRH Basal CRH
330 340 330 490 340 710 340 710
400 400 350 510 280 730 340 770
380 300 380 440 350 740 355 710
300 390 360 450 270 730 335 600
280 330 330 510 370 750 320 710
300 320 350 510 380 600 310 720
310 330 320 600 290 710 320 680
340 290 330 530 400 630 300 710
330 310 290 400 320 625 340 600
390 370 350 580 390 570 360 720

Average 336 338 339 502 339 679.5 332 693
Standard Deviation 39.2938 35.4401 23.4307 58.1034 44.8219 62.7077 18.1934 51
T-Test 0.910990159 5.22193E-06 3.80662E-10 3.7809E-10

Table (2): the levels of cortisol in pmol/106 cells secreted by the adenocortical cells treated with different concentrations of CRH and Basal cells (untreated with CRH)

Concentration Basal 0.01 nM 0.1 nM 1 nM 10 nM 100 nM 1000 nM
335 320 390 560 650 710 690
320 330 400 400 710 690 600
335 350 330 590 550 680 780
375 390 410 500 660 710 660
330 300 420 540 560 660 650
340 390 360 560 610 670 710
310 310 390 520 700 710 680
390 310 330 700 600 650 700
340 400 350 580 590 720 730
270 280 420 630 670 700 710

Average 334.5 338 380 558 630 690 691
Standard Deviation 31.261 40.1995 33.1662 75.4718491 53.29165 22.8035085 46.141088
T-Test 0.8391 0.00779 2.8889E-06 5.539E-10 3.2771E-15 2.2107E-12

The questions:

Plot the following for both sets of experiments: Effect of time on cortisol secretion after treatment with CRH (100 nM). Would I then plot the means calculated for each cortisol secretion against each time (6,12, 24, 36)?
Indicate significance (p<0.05) using Students T-Test against Basal levels (i.e. cells that were untreated with a hormone) and also between the different time- and dose-points.


2. Homework Equations 3. The Attempt at a Solution
 
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  • #2
Welcome to PF!

Please take some time to read the site guidelines before posting. It's good you used the homework template but what's bad is that you didn't provide any relevant formula so we can't tell you knowledge level and what's even worse is that you didn't even show any work so we don't know where you are stuck.

We don't do student homework we only provide suggestions and allow the student to solve the problem and to ask questions so they can learn the material better.

And lastly don't post the same post twice as you've done here.
 
  • #3
I'm unsure as to what you mean by "relevant formula". I provided 2 sets of data and queried as to whether or not STDEV or STDEVP would be the appropriate formula to use in this case.

Again, I don't understand what you mean by "knowledge level". It's very clear that this is a question relating to the use of formulae in excel.

I have shown all of the work necessary for the question. The result of the mean and STDEV calculations. I've communicated that I used STDEV to find the results shown in the original post.

I have not asked for anybody to "do student homework" for me. I have collected the data myself and completed all the relevant calculations. I have asked for suggestions relating to which formula is the most appropriate to use for the data I have calculated.

I only posted the thread twice as I was unsure as to which section it was most relevant to. Consequently, I felt it best to point in both. I will remove the other thread if you deem it to be cluttering the site.
 
  • #4
Since this is sample data, use STDEV. The other one, STDEVP, is for the population standard deviation.
 
  • #5
Mark44 said:
Since this is sample data, use STDEV. The other one, STDEVP, is for the population standard deviation.

Thanks a lot for your help, Mark.
 
  • #6
physques74 said:
I'm unsure as to what you mean by "relevant formula". I provided 2 sets of data and queried as to whether or not STDEV or STDEVP would be the appropriate formula to use in this case.

Again, I don't understand what you mean by "knowledge level". It's very clear that this is a question relating to the use of formulae in excel.

I have shown all of the work necessary for the question. The result of the mean and STDEV calculations. I've communicated that I used STDEV to find the results shown in the original post.

I have not asked for anybody to "do student homework" for me. I have collected the data myself and completed all the relevant calculations. I have asked for suggestions relating to which formula is the most appropriate to use for the data I have calculated.

I only posted the thread twice as I was unsure as to which section it was most relevant to. Consequently, I felt it best to point in both. I will remove the other thread if you deem it to be cluttering the site.
My apologies, as I read your full post it looked like you were asking us to solve the whole thing and we can't in good conscience do that here.

In any event, I'm glad that Mark44 answered your question. Thanks Mark44
 

Related to Should I Use STDEV or STDEVP for My Experimental Data Analysis?

1. What is the difference between STDEV and STDEVP?

STDEV and STDEVP are both measures of variability or dispersion in a set of data. The main difference is that STDEV calculates the standard deviation for a sample of data, while STDEVP calculates it for an entire population. This means that STDEVP will give a slightly larger value than STDEV, since it takes into account all data points in the population.

2. When should I use STDEV versus STDEVP?

It is important to use the correct measure of variability depending on whether you are working with a sample or a population. If you have data from an entire population, it is more accurate to use STDEVP. However, if you are working with a sample of data, it is recommended to use STDEV.

3. How is STDEV or STDEVP calculated?

The formula for calculating STDEV is the square root of the sum of squared deviations from the mean divided by the number of data points minus 1. STDEVP is calculated in a similar way, but the number of data points is not subtracted by 1.

4. What does a large STDEV or STDEVP value indicate?

A large STDEV or STDEVP value indicates that the data points in a set are spread out from the mean. This can be interpreted as a high level of variability or dispersion in the data. On the other hand, a small STDEV or STDEVP value indicates that the data points are clustered closely around the mean, indicating a low level of variability.

5. Can STDEV or STDEVP be negative?

No, both STDEV and STDEVP cannot be negative. This is because the formula for calculating these measures involves squaring the deviations from the mean, which always results in a positive value. If you encounter a negative value for STDEV or STDEVP, it is likely due to an error in your calculations.

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